Communication Management in Distributed Systems

Embodiments disclosed herein relate generally to managing operation of a distributed system. More particularly, embodiments disclosed herein relate to communication management in distributed systems.

Computing devices may provide computer-implemented services. The computer-implemented services may be used by users of the computing devices and/or devices operably connected to the computing devices. The computer-implemented services may be performed with hardware components such as processors, memory modules, storage devices, and communication devices. The operation of these components and the components of other devices may impact the performance of the computer-implemented services.

Various embodiments will be described with reference to details discussed below, and the accompanying drawings will illustrate the various embodiments. The following description and drawings are illustrative and are not to be construed as limiting. Numerous specific details are described to provide a thorough understanding of various embodiments. However, in certain instances, well-known or conventional details are not described in order to provide a concise discussion of embodiments disclosed herein.

Reference in the specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in conjunction with the embodiment can be included in at least one embodiment. The appearances of the phrases “in one embodiment” and “an embodiment” in various places in the specification do not necessarily all refer to the same embodiment.

References to an “operable connection” or “operably connected” means that a particular device is able to communicate with one or more other devices. The devices themselves may be directly connected to one another or may be indirectly connected to one another through any number of intermediary devices, such as in a network topology.

In general, embodiments disclosed herein relate to managing operation of a deployment of data processing systems. The deployment may be managed by performing at least one transmission of data between data processing systems based on a synchronicity classification.

The data may be classified as synchronous data (i.e., the data that is transmitted and/or processed in real-time and/or with minimal delay to ensure that a response by a first data processing system occurs in a coordinated and/or immediate sequence) and/or asynchronous data (i.e. the data that is transmitted and/or processed independently of the real-time and does not require the response by the first data processing system to occur in a coordinated and/or immediate sequence).

The data may be classified by assessing characteristics of the data. The characteristics may be assessed from an analysis of processes that utilize the data. The processes may include synchronous and/or asynchronous operations.

Based on the synchronicity classification, a first channel may be selected through which to transmit the data from a second data processing system to the first data processing system. The first channel may be established to transmit synchronous data. Further, a second channel may be established to transmit asynchronous data.

If a state of the first channel is non-operational, then the synchronous data may be transmitted as soon as the first channel becomes operational and/or at a first predetermined future time. Further, the second channel may transmit, at a second predetermined future time, asynchronous data that has been added to a queue before transmission of the data takes place.

In an embodiment, a method for managing operation of a deployment of data processing systems is disclosed. The method may include: (i) obtaining, by a data processing system of the data processing systems, a portion of data to be provided to another data processing system of the data processing systems to facilitate performance of a desired computer implemented service, (ii) obtaining, by the data processing system and using a synchronicity classification schema, a synchronicity classification for the portion of the data, (iii) in a first instance of the obtaining where the synchronicity classification indicates that the portion of the data is to be distributed synchronously: (a) obtaining, by the data processing system, a channel identifier for synchronous transmission of the portion of the data to the other data processing system, (b) identifying, by the data processing system, a state of a channel identified using the channel identifier and (c) providing, by the data processing system, the portion of the data to the other data processing system while the state of the channel is in a desired state.

The method may further include, in a second instance of the obtaining where the synchronicity classification indicates that the portion of the data is to be distributed asynchronously: (i) obtaining, by the data processing system, a second channel identifier for asynchronous transmission of the portion of the data to the other data processing system, (ii) identifying, by the data processing system, a queue for an asynchronous channel to the other data processing system and (iii) adding, by the data processing system, the portion of the data to the queue to facilitate future distribution of the portion of the data to the other data processing system during a period of time when the asynchronous channel is operational.

Identifying the state of the channel may include, for a period of time during which the portion of the data will be transmitted to the other data processing system: inferring whether the channel between the data processing system and the other data processing system will be operational during the period of time.

Providing the portion of the data to the other data processing system while the state of the channel is in the desired state may include, in a first instance of the inferring where the channel will not be operational during at least a portion of the period of time: selecting a different period of time during which to transmit the portion of the data to the other data processing system via the channel.

Providing the portion of the data to the other data processing system while the state of the channel is in the desired state may include, in a second instance of the inferring where the channel will be operational during all of period of time: selecting the period of time during which to transmit the portion of the data to the other data processing system via the channel.

The period of time may have a duration sufficient to (i) distribute the portion of the data to the other data processing system via the channel and (ii) facilitate obtaining of a response from the other data processing system.

The response may be based, at least in part, on the portion of the data.

The response may be required for the data processing system to provide the desired computer implemented service.

The desired computer implemented service may be a distributed process performed by at least the data processing system and the other data processing system, and the distributed process requires separate timely activity of the data processing system and the other data processing system.

The method may further include, prior to obtaining the portion of the data: (i) obtaining, by the data processing system, a grouping instruction indicating member of the data processing system in a group with the other data processing system and (ii) establishing, by the data processing system and based on the grouping instruction, the channel and an asynchronous channel to the other data processing system, the channel being a synchronous channel for timely cooperative action by the data processing system and the other data processing system.

The data processing systems may orchestrate operation of a manufacturing environment in which timely coordination between the data processing systems is required.

In an embodiment, a non-transitory media is provided. The non-transitory media may include instructions that when executed by a processor cause the computer-implemented method to be performed.

In an embodiment, a data processing system is provided. The data processing system may include the non-transitory media and a processor, and may perform the computer-implemented method when the computer instructions are executed by the processor.

1 FIG. Turning to, a system in accordance with an embodiment is shown. The system may provide any number and types of computer implemented services (e.g., to user of the system and/or devices operably connected to the system). The computer implemented services may include, for example, data storage service, instant messaging services, etc.

To provide the computer implemented services, data may be transmitted from a data processing system to a second data processing system. The data may be passed using a communication protocol that uses shared memory, a data stream, a socket connection, etc. to perform a transmission. The data may be passed to enable performance of at least one task by the second data processing system. The at least one task may include an operation by an application. To perform the task, transmission of the data by the data processing system to the second data processing system may need to be performed in a timely manner (e.g., immediately, at a future time, etc.).

Before the transmission of the data, the communication protocol may fail (e.g., due to network issues, resource exhaustion, timeouts, etc.) and/or the second data processing system may be unresponsive (e.g., due to resource exhaustion, software bugs, memory leaks, etc.). If the communication protocol fails, the data processing system may not be able to transmit the data to the second data processing system. Similarly, if the second data processing system is unresponsive, the second data processing system may not be able to receive the data after the data is transmitted by the data processing system. In either case, computer implemented services that utilize data transmitted between data processing system may be impacted (e.g., impaired, may fail entirely, etc.).

In general, embodiments disclosed here relate to systems and methods for managing operation of a deployment of data processing systems. The operation of the deployment may be managed by (i) determining a synchronicity classification of the data to be sent from the data processing system to the second data processing system and (ii) performing the transmission of the data based on the synchronicity classification.

The synchronicity classification may be determined by assessing characteristics of the data. The characteristics may be assessed from an analysis of processes that utilize the data. The processes may include (i) real-time processes (e.g., video streaming, online transactions, real-world sensors, etc.), (ii) high frequency processes (e.g., market trades, the real-world sensors, web analytics, etc.), (iii) coordinated processes (e.g., distributed databases, microservices architecture, manufacturing systems, etc.), etc.

The analysis may determine whether the synchronicity classification of the data is synchronous (i.e., data that is transmitted and/or processed in real-time and/or with minimal delay to ensure that a response by the second data processing system occurs in a coordinated and/or immediate sequence) and/or asynchronous (i.e., data that is transmitted and/or processed independently of the real-time and does not require the response by the second data processing system to occur in a coordinated and/or immediate sequence).

Once the synchronicity classification is obtained, a channel identifier may be obtained. The channel identifier may be obtained by performing a search in a registry for the channel identifier between the data processing system and the second data processing system. The channel identifier may have been assigned by a management system and stored in the registry before the transmission of any data.

Once the channel identifier has been obtained, the data may be handled based on the synchronicity classification. If the synchronicity classification of the data is synchronous, then a state of the channel may be obtained. The state of the channel may be obtained by receiving (i) periodic messages from the second data processing system to the data processing system (e.g., discontinuation of at least one periodic message may indicate the channel is down), (ii) an indicator status (e.g., open, closed, etc.) from the communication protocol relating to the state of the channel when the state of the channel changes, etc. Based on the state of the channel, when the channel is open, the data may be transmitted from the data processing system to the second data processing system. However, if the synchronicity classification of the data is asynchronous, then the data may be set in a queue. The queue may facilitate distribution of the data by permitting the transmission of the data at a future time through the channel when the channel is in an open state.

100 104 To provide the above noted functionality, the system may include deployment, and management system. Each of these components is discussed below.

100 100 100 100 100 100 100 Deploymentmay include any number of data processing systemA-N. The any number of data processing systemA-N may perform at least one operation. The at least one operation may be performed by ingesting data. The data may be obtained from a first data processing system (e.g.,A) and transmitted through a channel to a second data processing system (e.g.,B).

100 100 The data may be synchronous and/or asynchronous. Synchronous data may be transmitted and/or processed in real-time and/or with minimal delay to ensure that a response by the second data processing system (e.g.,B) occurs in a coordinated and/or immediate sequence. Asynchronous data may be transmitted and/or processed independently of the real-time and does not require the response by the second data processing system (e.g.,B) to occur in a coordinated and/or immediate sequence.

100 100 100 100 The first data processing system (e.g.,A) may determine whether the data is synchronous and/or asynchronous. The first data processing system (e.g.,A) may make the determination by assessing characteristics of the data. The characteristics may be assessed from an analysis of processes performed the any number of the data processing systemA-N that utilize the data. The processes may include (i) real-time processes (e.g., video streaming, online transactions, real-world sensors, etc.), (ii) high frequency processes (e.g., market trades, the real-world sensors, web analytics, etc.), (iii) coordinated processes (e.g., distributed databases, microservices architecture, manufacturing systems, etc.), etc.

100 100 102 The first data processing system (e.g.,A) may receive at least one notification of a state of the channel. The at least one notification may be received by obtaining (i) periodic messages from the second data processing system (e.g.,B) (e.g., discontinuation of at least one periodic message may indicate the channel is down), (ii) an indicator status (e.g., open, closed, etc.) from a communication protocol (e.g.,) relating to the state of the channel when the state of the channel changes, etc.

100 100 If the synchronicity classification of the data is synchronous, then, based on the state of the channel, when the channel is open, the data may be transmitted from the first data processing system (e.g.,A) to the second data processing system (e.g.,B). However, if the synchronicity classification of the data is asynchronous, then the data may be set in a queue. The queue may facilitate distribution of the data by permitting the transmission of the data at a future time through the channel when the channel is in an open state.

104 100 100 100 100 100 100 100 100 Management systemmay facilitate organization of deployment. The organization of deploymentmay include (i) assigning the any number of data processing systemA-N to one or more groupings, (ii) identifying at least one channel between at least two of the any number of data processing systemA-N to the one or more groupings, (iii) assigning an identifier to the at least one channel, (iv) identifying the at least one channel as a transmission pathway for synchronous data and/or asynchronous data, (v) storing the channel identifier of the at least one channel in the registry that is accessible to the any number of the data processing systemA-N.

100 104 2 3 FIGS.A-C While providing their functionality, any of deploymentand management systemmay perform all, or a portion, of the flows and methods shown in.

100 104 4 FIG. Any of (and/or components thereof) deploymentand management systemmay be implemented using a computing device (also referred to as a data processing system) such as a host or a server, a personal computer (e.g., desktops, laptops, and tablets), a “thin” client, a personal digital assistant (PDA), a Web enabled appliance, a mobile phone (e.g., Smartphone), an embedded system, local controllers, an edge node, and/or any other type of data processing device or system. For additional details regarding computing devices, refer to.

1 FIG. 102 102 Any of the components illustrated inmay be operably connected to each other (and/or components not illustrated) with communication system. In an embodiment, communication systemincludes one or more networks that facilitate communication between any number of components. The networks may include wired networks and/or wireless networks (e.g., and/or the Internet). The networks may operate in accordance with any number and types of communication protocols (e.g., such as the Internet protocol).

1 FIG. While illustrated inas including a limited number of specific components, a system in accordance with an embodiment may include fewer, additional, and/or different components than those components illustrated therein.

2 2 FIGS.A-D 200 206 202 210 216 258 To further clarify embodiments disclosed herein, data flow diagrams in accordance with an embodiment are shown in. In these diagrams, flows of data and processing of data are illustrated using different sets of shapes. A first set of shapes (e.g.,,, etc.) is used to represent data structures, a second set of shapes (e.g.,,, etc.) is used to represent processes performed using and/or that generate data, and a third set of shapes (e.g.,,, etc.) is used to represent large scale data structures such as databases.

2 FIG.A Turning to, a first data flow diagram in accordance with an embodiment is shown. The first data flow diagram may illustrate data used in and data processing performed in determining a synchronicity classification of the data.

202 202 200 200 100 To determine the synchronicity classification of the data, classification processmay be performed. During classification process, datamay be first ingested. Datamay be a data structure that can be used by a data processing system (e.g.,A) to perform at least one operation. The operation may be part of at least one process, which includes at least one operation. The outcome of the process may be a second data structure, computer implemented services, etc.

200 204 200 100 100 To classify data, synchronicity classificationmay be used. Datamay be classified as synchronous data and/or asynchronous data. Synchronous data may be data that is transmitted and/or processed in real-time and/or with minimal delay to ensure that a response by a second data processing system (e.g.,B) occurs in a coordinated and/or immediate sequence. Asynchronous data may be data that is transmitted and/or processed independently of the real-time and does not require the response by the second data processing system (e.g.,B) to occur in a coordinated and/or immediate sequence.

200 200 200 To classify data, characteristics of datamay be assessed. The characteristics may be assessed from an analysis of processes that utilize data. The processes may include (i) real-time processes (e.g., video streaming, online transactions, real-world sensors, etc.), (ii) high frequency processes (e.g., market trades, the real-world sensors, web analytics, etc.), (iii) coordinated processes (e.g., distributed databases, microservices architecture, manufacturing systems, etc.), etc.

200 200 100 200 206 206 200 Based on the assessment of the processes that use data, a determination may be made on whether datais synchronous data and/or asynchronous data. The determination may be made by identifying which of the processes in a data processing system (e.g.,A) can and/or will likely ingest data. Based on the identification, synchronicity classificationmay be obtained. Synchronicity classificationmay include a label and/or tag that can be embedded in metadata of data. The label and/or tag may have a string value of synchronous and/or asynchronous.

2 FIG.A 2 FIG.B 100 100 100 Thus, via the interaction illustrated in, a system in accordance with an embodiment may determine the synchronicity classification of the data. Consequently, a deployment (e.g.,) may be more likely to be able to provide desired computer implemented services by determining, by the synchronicity classification of the data, at least one manner in how the data is treated in at least one process. Turning to, a second data flow diagram in accordance with an embodiment is shown. The second data flow diagram may illustrate data used in and data processing performed in performing a transmission of synchronous data from a data processing system (e.g.,A) to a second data processing system (e.g.,B).

100 100 210 210 200 200 100 100 100 To perform the transmission of synchronous data from a data processing system (e.g.,A) to a second data processing system (e.g.,B), channel identification processmay be performed. During channel identification process, datamay be ingested. Datamay be ingested and used to (i) identify the second data processing system (e.g.,B) and/or (ii) identify the channel between the data processing system (e.g.,A) and the second data processing system (e.g.,B).

100 100 258 258 100 104 258 2 FIG.D The second data processing system (e.g.,B) may be identified by performing a search, by the data processing system (e.g.,A), in groupings repository(in). Groupings repositorymay be stored on at least one data processing system of deploymentand/or management system. Groupings repositorymay store a list of at least one grouping of data processing systems. The at least one grouping may be assigned based on at least one process that is performed between two and/or more data processing systems.

100 100 100 100 100 100 100 200 100 The search by the data processing system (e.g.,A) may identify that, for example, the data processing system (e.g.,A) is grouped with the second data processing system (e.g.,B) and a third data processing system (e.g.,C). Further, the search may identify that the second data processing system (e.g.,B) includes the at least one process for ingesting, for example, installation data that includes an instruction for a manufacturing assembly line device to update information on a second device on a car that is moving on an assembly line. Because the second data processing system (e.g.,B) is the only data processing system identified that requires the installation data, then the data processing system (e.g.,A) may identify that datamay be transmitted to the second data processing system (e.g.,B).

200 100 100 100 104 252 104 100 100 2 FIG.D To identify the channel by which to transmit data, the first data processing system (e.g.,A) may perform a second search in a registry for the channel identifier between the data processing system (e.g.,A) and the second data processing system (e.g.,B). The channel identifier may have been assigned by a management system (e.g.,) (logical group processin) and stored in the registry before the transmission of any data can take place. The registry may be stored in management systemand be accessible by a data processing system (e.g.,A,B, etc.).

212 100 212 212 212 212 As a result of the second search, channel identifiermay be identified by the data processing system (e.g.,A). Channel identifiermay include a serial number and/or an alphanumeric code to identify the channel. Channel identifiermay include a label, for example, an S tag in the alphanumeric code and/or a synchronous tag in metadata about channel identifierin the registry. Therefore, a channel labeled with channel identifiermay be an appropriate channel through which to synchronous data.

200 200 202 200 200 212 2 FIG.A Further, since dataincludes, in the example, the instruction for the manufacturing assembly line device to update the information on the second device on the car that is moving on the assembly line, datamay be determined, during classification processin, that datais synchronous data. Therefore, datamay be sent through the channel that is identified by channel identifier.

200 214 214 100 100 Before sending datathrough the channel, channel state identification processmay be performed. During channel state identification process, a state of the channel may be obtained. The state of the channel may be obtained, by the data processing system (e.g.,A), by receiving (i) at least one periodic message from the second data processing system (e.g.,B) (e.g., discontinuation of the at least one periodic message may indicate the channel is down), (ii) an indicator status (e.g., open, closed, etc.) from the communication protocol relating to the state of the channel when the state of the channel changes, etc.

214 218 218 From channel state identification process, channel state identifiermay be obtained. From (i) the at least one periodic message, (ii) the indicator status, etc. channel state identifiermay include a state such as open (e.g., the channel is functional for transmission of data), closed (e.g., the channel has been shut down), error (e.g., an error has occurred on the channel), etc.

218 220 220 200 200 100 200 200 Based on channel state identifier, data distribution processmay be performed. During data distribution process, datamay be ingested. If the channel has a state, for example, that is open, then data, which has been classified as synchronous data, may be transmitted in real-time and/or with minimal delay to the second data processing system (e.g.,B). However, if the channel has a state, for example, which is closed, and/or error, then datamay be transmitted as soon as the state of the channel becomes open. Datamay be transmitted using a communication protocol that uses shared memory, a data stream, a socket connection, etc.

2 FIG.B 100 100 100 Thus, via the interaction illustrated in, a system in accordance with an embodiment may perform the transmission of the synchronous data from the data processing system (e.g.,A) to the second data processing system (e.g.,B). Consequently, a deployment (e.g.,) may be more likely to be able to provide desired computer implemented services by transmitting synchronous data to a data processing system that performs at least one process that requires receiving the synchronous data in real-time and/or with minimal delay.

2 FIG.C 100 100 Turning to, a third data flow diagram in accordance with an embodiment is shown. The third data flow diagram may illustrate data used in and data processing performed in transmitting asynchronous data from a data processing system (e.g.,A) to a second data processing system (e.g.,B).

100 100 230 230 210 200 230 200 To transmit the asynchronous data from the data processing system (e.g.,A) to the second data processing system (e.g.,B), channel identification processmay be performed. Channel identification processmay be performed similarly to channel identification process. Data, that is ingested by channel identification process, for example, may include asynchronous data. An example of asynchronous data that may be included in datamay be, for example, an instruction for a manufacturing assembly line device to take a sample of a random set of measurements from a car that been completed on manufacturing assembly line.

232 212 232 232 232 2 FIG.B Channel identifier, similar to channel identifierfrom, may include a serial number and/or an alphanumeric code to identify the channel. Channel identifiermay include a label, for example, an A tag in the alphanumeric code and/or an asynchronous tag in metadata about channel identifierin the registry. Therefore, a channel labeled with channel identifiermay be an appropriate channel through which to asynchronous data may be transmitted.

234 234 200 200 236 200 236 200 100 For asynchronous data, queuing processmay be performed. During queuing process, datamay be transmitted at a future time. To prepare for the transmission, datamay be added to channel queue. Any data, including data, that has been added to channel queue, may include a timestamp. The timestamp may be the future time at which datamay be transmitted to the second data processing system (e.g.,B).

238 238 200 100 232 200 100 214 200 100 When the future time has elapsed, data distribution processmay be performed. During data distribution process, datamay be transmitted to the second data processing system (e.g.,B) through a channel labeled with channel identifier. Datamay be transmitted using a communication protocol that uses shared memory, a data stream, a socket connection, etc. In addition, if an indication is provided by the second data processing system (e.g.,B) that the channel has an state that indicates, for example, being closed and/or having at least one error (e.g., channel state identification process), then datamay be transmitted to the second data processing system (e.g.,B) as soon as the state indicates that the channel is open, functional, etc.

2 FIG.C 100 100 100 Thus, via the interaction illustrated in, a system in accordance with an embodiment may transmit the asynchronous data from the data processing system (e.g.,A) to the second data processing system (e.g.,B). Consequently, a deployment (e.g.,) may be more likely to be able to provide desired computer implemented services by transmitting the asynchronous data to a data processing system that performs at least one process at a predetermined future time.

2 FIG.D Turning to, a fourth data flow diagram in accordance with an embodiment is shown. The fourth data flow diagram may illustrate data used in and data processing performed in establishing at least one channel between at least two data processing systems.

252 252 251 251 100 100 100 251 100 100 104 100 100 To establish the at least one channel, logical grouping processmay be performed. During logical grouping process, data processing system identifiersmay be ingested. Data processing system identifiersmay include a list of at least one serial number, alphanumeric code, etc. for at least one data processing system (e.g.,A,B, etc.) of a deployment (e.g.,). A data processing system identifier of data processing system identifiersmay be assigned to the at least one data processing system (e.g.,A,B, etc.) by management system, and/or may be included in the at least one data processing system (e.g.,A,B, etc.).

252 250 250 100 100 100 100 100 100 250 100 100 100 100 During logical grouping process, data processing system workload datamay be ingested. Data processing system workload datamay include at least process that can likely be performed by the at least one data processing system (e.g.,A,B, etc.). The at least one process may be linked with at least another process so that the at least one data processing system (e.g.,A,B, etc.) may produce data that may be passed to and ingested by a second data processing system (e.g.,C,D, etc.). As well, data processing system workload datamay include at least one type of data that can be ingested by the at least one data processing system (e.g.,A,B, etc.). The at least one data processing system (e.g.,A,B, etc.) may include at least one application, application programming interface (API), etc. to ingest at least one data type of multiple data types.

252 254 254 100 100 100 100 100 100 During logical grouping process, grouping schemamay be ingested. Grouping schemamay include a structured framework for organizing the at least one data processing system (e.g.,A,B, etc.) into at least one group. The structured framework may be based on at least one operation to be performed by the at least one data processing system (e.g.,A,B, etc.). The at least one operation may include at least one process that can be performed by the at least one data processing system (e.g.,A,B, etc.).

252 251 100 100 100 100 100 100 During logical group process, data processing system identifiersmay be assessed for a likely performance of at least one workload in the at least one data processing system (e.g.,A,B, etc.). Assessment for the likely performance may include screening at least one data processing system (e.g.,A,B, etc.) for the at least one process performed by least one data processing system (e.g.,A,B, etc.). The screening may include searching for at least two processes that are linked.

100 100 100 100 100 100 104 For example, performance of the at least one process may require first data that may be generated by a first data processing system (e.g.,A). Further, the first data may be frequently used by a second data processing system (e.g.,B) for performance of at least a second process. Thus, the first data processing system (e.g.,A) may be expected to transmit the first data to the second data processing system (e.g.,B). Therefore, a first identifier of first data processing system (e.g.,A) and a second identifier of the second data processing system (e.g.,B) may be linked and therefore may be included in a grouping by a management system (e.g.,).

256 256 100 100 As a result, logical groupingsmay be generated. Logical groupingsmay include at least one list that includes at least two data processing systems (e.g.,A,B, etc.). The at least two data processing systems in the at least one list may be at least expected to ingest data, perform at least one process using the data, and transmit the data between the at least two data processing systems. The data may be synchronous data and/or asynchronous data. Synchronous data may be transmitted in real-time and/or with minimal delay. Asynchronous data may be transmitted and/or processed independently of the real-time and does not require the response by a receiving data processing system to occur in a coordinated and/or immediate sequence.

256 258 258 100 104 258 100 100 Logical groupingsmay be stored in groupings repository. Groupings repositorymay be stored on at least one data processing system of deploymentand/or management system. Groupings repositorymay store the at least one list that includes at least two data processing systems (e.g.,A,B, etc.) that can perform the transmission of the synchronous data and/or the asynchronous data.

260 260 100 100 To enable performance of the transmission of the synchronous data and/or the asynchronous data, channel establishment processmay be performed. During channel establishment process, a communication protocol may establish at least one channel between at least two data processing systems (e.g.,A,B, etc.). The communication protocol may (i) follow administrative guidelines, (ii) use authentication and/or authorization by including a certificate, signature, etc. on the synchronous data and/or the asynchronous data that is transmitted, (iii) use a checksum and/or hash function to verify an integrity of the synchronous data and/or the asynchronous data, (iv) use at least one encryption method to protect against unauthorized access of the synchronous data and/or the asynchronous data, (v) record at least one timestamp of at least one transmission of the synchronous data and/or the asynchronous data, etc.

2 FIG.D 100 100 100 100 100 Thus, via the interaction illustrated in, a system in accordance with an embodiment may establish the at least one channel between the at least two data processing systems (e.g.,A,B, etc.). Consequently, a deployment (e.g.,) may be more likely to be able to provide desired computer implemented services by enabling transmission of the synchronous data and/or the asynchronous data between the at least two data processing systems (e.g.,A,B, etc.).

Any of the processes illustrated using the second set of shapes may be performed, in part or whole, by digital processors (e.g., central processors, processor cores, etc.) that execute corresponding instructions (e.g., computer code/software). Execution of the instructions may cause the digital processors to initiate performance of the processes. Any portions of the processes may be performed by the digital processors and/or other devices. For example, executing the instructions may cause the digital processors to perform actions that directly contribute to performance of the processes, and/or indirectly contribute to performance of the processes by causing (e.g., initiating) other hardware components to perform actions that directly contribute to the performance of the processes.

Any of the processes illustrated using the second set of shapes may be performed, in part or whole, by special purpose hardware components such as digital signal processors, application specific integrated circuits, programmable gate arrays, graphics processing units, data processing units, and/or other types of hardware components. These special purpose hardware components may include circuitry and/or semiconductor devices adapted to perform the processes. For example, any of the special purpose hardware components may be implemented using complementary metal-oxide semiconductor based devices (e.g., computer chips).

Any of the data structures illustrated using the first and third set of shapes may be implemented using any type and number of data structures. Additionally, while described as including particular information, it will be appreciated that any of the data structures may include additional, less, and/or different information from that described above. The informational content of any of the data structures may be divided across any number of data structures, may be integrated with other types of information, and/or may be stored in any location.

1 FIG. 3 3 FIGS.A-B 1 FIG. 3 3 FIGS.A-B As discussed above, the components ofmay perform various methods to manage operation of a deployment of data processing systems.illustrate a method that may be performed by the components of the system of. In the diagram discussed below and shown in, any of the operations may be repeated, performed in different orders, and/or performed in parallel with or in a partially overlapping in time manner with other operations.

3 FIG.A 1 FIG. Turning to, a flow diagram illustrating a method of managing operation of a deployment of data processing systems in accordance with an embodiment is shown. The method may be performed, for example, by any of the components of the system of, and/or other components not shown therein.

300 At operation, a portion of data may be obtained, by a data processing system of the data processing systems, to be provided to another data processing system of the data processing systems to facilitate performance of a desired computer implemented service. A portion of data may be obtained by receiving the data from an application.

302 At operation, a synchronicity classification for the portion of the data may be obtained, by the data processing system and using a synchronicity classification schema. The synchronicity classification for the portion of the data may be obtained by assessing the characteristics of the portion of the data. The characteristics may be assessed from an analysis of processes that utilize the portion of the data. The processes may include (i) real-time processes (e.g., video streaming, online transactions, real-world sensors, etc.), (ii) high frequency processes (e.g., market trades, the real-world sensors, web analytics, etc.), (iii) coordinated processes (e.g., distributed databases, microservices architecture, manufacturing systems, etc.), etc.

304 At operation, a determination may be made whether the synchronicity classification indicates that the portion of the data is to be distributed synchronously. The determination may be made by reading ingesting synchronicity classification, the synchronicity classification of the portion of the data being either synchronous and/or asynchronous.

306 3 FIG.B If the synchronicity classification indicates that the portion of the data is to be distributed synchronously, the method may continue at operation. Otherwise, if the synchronicity classification does not indicate that the portion of the data is to be distributed synchronously, the method may continue in.

304 306 104 Continuing from operation, at operation, a channel identifier may be obtained, by the data processing system, for synchronous transmission of the portion of the data to the other data processing system. The channel identifier may be obtained by performing a search, by the data processing system, in a registry of management systemthat includes channel identifiers. The performance of the search may yield the channel identifier between the data processing system and the other data processing system.

308 At operation, a state of a channel identified using the channel identifier may be identified. The state of the channel may be identified by inferring whether the channel between the data processing system and the other data processing system will be operational during the period of time. The channel may be inferred to operational by receiving, by the data processing system, (i) at least one periodic message from the other data processing system (e.g., discontinuation of the at least one periodic message may indicate the channel is down), (ii) an indicator status (e.g., open, closed, etc.) from a communication protocol relating to the state of the channel when the state of the channel changes, etc.

310 At operation, the portion of the data may be provided, by the data processing system, to the other data processing system while the state of the channel is in a desired state. The portion of the data may be provided by selecting a different period of time during which to transmit the portion of the data to the other data processing system via the channel, in a first instance of the inferring where the channel will not be operational during at least a portion of the period of time. The different period of time may be selected by performing a first scheduling, by the data processing system, of the period of time. The portion of the data may also be provided by selecting the period of time during which to transmit the portion of the data to the other data processing system via the channel in a second instance of the inferring where the synchronous channel will be operational during all of period of time. The period of time may be selected by performing a second scheduling, by the data processing system, of the period of time.

310 The method may end following operation.

304 312 3 FIG.B Continuing from operation, turning to, at operation, a second channel identifier may be obtained, by the data processing system, for asynchronous transmission of the portion of the data to the other data processing system. The second channel identifier may be obtained by performing a second search, by the data processing system, in the registry of a management system that includes the channel identifiers. The performance of the second search may yield the second channel identifier between the data processing system and the other data processing system.

314 At operation, a queue for an asynchronous channel to the other data processing system may be identified by the data processing system. The queue for an asynchronous channel may be identified by performing a third search, by the data processing system, in a file system of the data processing system for the queue.

316 At operation, the portion of the data may be added, by the data processing system, to the queue to facilitate future distribution of the portion of the data to the other data processing system during a period of time when the asynchronous channel is operational. The portion of the data may be added by appending the portion of the data, or perhaps a pointer to the portion of the data in the data processing system, to a list, the list including a timestamp, with the portion of the data and/or the pointer, during which to perform a transmission of the portion of the data from the data processing system to the other data processing system.

3 3 FIGS.A-B Thus, via the method shown in, embodiments herein may likely improve a likelihood of managing operation of a deployment of data processing systems. By improving the likelihood of managing operation of a deployment of data processing systems, the data processing systems may be more likely to provide desirable computer implemented services by, for example, classifying the portion of the data as synchronous data and/or asynchronous data, the classification indicating a transmission frequency of the portion of the data for at least one process that is governed by the data processing system and/or the other data processing system, performing a transmission of the synchronous data and/or asynchronous data based on the synchronicity classification, etc.

1 FIG. 3 FIG.C 1 FIG. 3 FIG.C As discussed above, the components ofmay perform various methods to manage operation of a deployment of data processing systems.illustrates a method that may be performed by the components of the system of. In the diagram discussed below and shown in, any of the operations may be repeated, performed in different orders, and/or performed in parallel with or in a partially overlapping in time manner with other operations.

3 FIG.C 1 FIG. Turning to, a flow diagram illustrating a method of managing operation of a deployment of data processing systems in accordance with an embodiment is shown. The method may be performed, for example, by any of the components of the system of, and/or other components not shown therein.

320 At operation, a grouping instruction may be obtained, by the data processing system, indicating member of the data processing system in a group with the other data processing system. The grouping instruction may be obtained by receiving, from the management system, that the data processing system has been added to at least one grouping of a set of at least one grouping. The set of the at least one grouping may be stored in a second registry in the management system.

322 At operation, the channel and an asynchronous channel to the other data processing system may be established, by the data processing system, the channel being a synchronous channel for timely cooperative action by the data processing system and the other data processing system. The channel and an asynchronous channel may be established by creating a data stream, socket connection, etc. between the data processing system and the other data processing system.

3 FIG.C Thus, via the method shown in, embodiments herein may likely improve a likelihood of managing operation of a deployment of data processing systems. By improving the likelihood of managing operation of a deployment of data processing systems, the data processing systems may be more likely to provide desirable computer implemented services by, for example, organizing data processing systems into at least one grouping, which may frequently transmit data within the one grouping, creating at least two channels, a first channel for at least a first transmission of synchronous data and a second channel for at least a second transmission of asynchronous data, etc.

1 2 FIGS.-D 4 FIG. 400 400 400 400 Any of the components illustrated inmay be implemented with one or more computing devices. Turning to, a block diagram illustrating an example of a data processing system (e.g., a computing device) in accordance with an embodiment is shown. For example, systemmay represent any of data processing systems described above performing any of the processes or methods described above. Systemcan include many different components. These components can be implemented as integrated circuits (ICs), portions thereof, discrete electronic devices, or other modules adapted to a circuit board such as a motherboard or add-in card of the computer system, or as components otherwise incorporated within a chassis of the computer system. Note also that systemis intended to show a high level view of many components of the computer system. However, it is to be understood that additional components may be present in certain implementations and furthermore, different arrangement of the components shown may occur in other implementations. Systemmay represent a desktop, a laptop, a tablet, a server, a mobile phone, a media player, a personal digital assistant (PDA), a personal communicator, a gaming device, a network router or hub, a wireless access point (AP) or repeater, a set-top box, or a combination thereof. Further, while only a single machine or system is illustrated, the term “machine” or “system” shall also be taken to include any collection of machines or systems that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein.

400 401 403 405 407 410 401 401 401 401 In one embodiment, systemincludes processor, memory, and devices-via a bus or an interconnect. Processormay represent a single processor or multiple processors with a single processor core or multiple processor cores included therein. Processormay represent one or more general-purpose processors such as a microprocessor, a central processing unit (CPU), or the like. More particularly, processormay be a complex instruction set computing (CISC) microprocessor, reduced instruction set computing (RISC) microprocessor, very long instruction word (VLIW) microprocessor, or processor implementing other instruction sets, or processors implementing a combination of instruction sets. Processormay also be one or more special-purpose processors such as an application specific integrated circuit (ASIC), a cellular or baseband processor, a field programmable gate array (FPGA), a digital signal processor (DSP), a network processor, a graphics processor, a network processor, a communications processor, a cryptographic processor, a co-processor, an embedded processor, or any other type of logic capable of processing instructions.

401 401 400 404 Processor, which may be a low power multi-core processor socket such as an ultra-low voltage processor, may act as a main processing unit and central hub for communication with the various components of the system. Such processor can be implemented as a system on chip (SoC). Processoris configured to execute instructions for performing the operations discussed herein. Systemmay further include a graphics interface that communicates with optional graphics subsystem, which may include a display controller, a graphics processor, and/or a display device.

401 403 403 403 401 403 401 Processormay communicate with memory, which in one embodiment can be implemented via multiple memory devices to provide for a given amount of system memory. Memorymay include one or more volatile storage (or memory) devices such as random access memory (RAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), static RAM (SRAM), or other types of storage devices. Memorymay store information including sequences of instructions that are executed by processor, or any other device. For example, executable code and/or data of a variety of operating systems, device drivers, firmware (e.g., input output basic system or BIOS), and/or applications can be loaded in memoryand executed by processor. An operating system can be any kind of operating systems, such as, for example, Windows®operating system from Microsoft®, Mac OS®/iOS®from Apple, Android®from Google®, Linux®, Unix®, or other real-time or embedded operating systems such as VxWorks.

400 405 406 407 408 405 406 407 405 Systemmay further include IO devices such as devices (e.g.,,,,) including network interface device(s), optional input device(s), and other optional IO device(s). Network interface device(s)may include a wireless transceiver and/or a network interface card (NIC). The wireless transceiver may be a WiFi transceiver, an infrared transceiver, a Bluetooth transceiver, a WiMax transceiver, a wireless cellular telephony transceiver, a satellite transceiver (e.g., a global positioning system (GPS) transceiver), or other radio frequency (RF) transceivers, or a combination thereof. The NIC may be an Ethernet card.

406 404 406 Input device(s)may include a mouse, a touch pad, a touch sensitive screen (which may be integrated with a display device of optional graphics subsystem), a pointer device such as a stylus, and/or a keyboard (e.g., physical keyboard or a virtual keyboard displayed as part of a touch sensitive screen). For example, input device(s)may include a touch screen controller coupled to a touch screen. The touch screen and touch screen controller can, for example, detect contact and movement or break thereof using any of a plurality of touch sensitivity technologies, including but not limited to capacitive, resistive, infrared, and surface acoustic wave technologies, as well as other proximity sensor arrays or other elements for determining one or more points of contact with the touch screen.

407 407 407 410 400 IO devicesmay include an audio device. An audio device may include a speaker and/or a microphone to facilitate voice-enabled functions, such as voice recognition, voice replication, digital recording, and/or telephony functions. Other IO devicesmay further include universal serial bus (USB) port(s), parallel port(s), serial port(s), a printer, a network interface, a bus bridge (e.g., a PCI-PCI bridge), sensor(s) (e.g., a motion sensor such as an accelerometer, gyroscope, a magnetometer, a light sensor, compass, a proximity sensor, etc.), or a combination thereof. IO device(s)may further include an imaging processing subsystem (e.g., a camera), which may include an optical sensor, such as a charged coupled device (CCD) or a complementary metal-oxide semiconductor (CMOS) optical sensor, utilized to facilitate camera functions, such as recording photographs and video clips. Certain sensors may be coupled to interconnectvia a sensor hub (not shown), while other devices such as a keyboard or thermal sensor may be controlled by an embedded controller (not shown), dependent upon the specific configuration or design of system.

401 401 To provide for persistent storage of information such as data, applications, one or more operating systems and so forth, a mass storage (not shown) may also couple to processor. In various embodiments, to enable a thinner and lighter system design as well as to improve system responsiveness, this mass storage may be implemented via a solid state device (SSD). However, in other embodiments, the mass storage may primarily be implemented using a hard disk drive (HDD) with a smaller amount of SSD storage to act as an SSD cache to enable non-volatile storage of context state and other such information during power down events so that a fast power up can occur on re-initiation of system activities. Also a flash device may be coupled to processor, e.g., via a serial peripheral interface (SPI). This flash device may provide for non-volatile storage of system software, including a basic input/output software (BIOS) as well as other firmware of the system.

408 409 428 428 428 403 401 400 403 401 428 405 Storage devicemay include computer-readable storage medium(also known as a machine-readable storage medium or a computer-readable medium) on which is stored one or more sets of instructions or software (e.g., processing module, unit, and/or processing module/unit/logic) embodying any one or more of the methodologies or functions described herein. Processing module/unit/logicmay represent any of the components described above. Processing module/unit/logicmay also reside, completely or at least partially, within memoryand/or within processorduring execution thereof by system, memoryand processoralso constituting machine-accessible storage media. Processing module/unit/logicmay further be transmitted or received over a network via network interface device(s).

409 409 Computer-readable storage mediummay also be used to store some software functionalities described above persistently. While computer-readable storage mediumis shown in an exemplary embodiment to be a single medium, the term “computer-readable storage medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more sets of instructions. The terms “computer-readable storage medium” shall also be taken to include any medium that is capable of storing or encoding a set of instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies of embodiments disclosed herein. The term “computer-readable storage medium” shall accordingly be taken to include, but not be limited to, solid-state memories, and optical and magnetic media, or any other non-transitory machine-readable medium.

428 428 428 Processing module/unit/logic, components and other features described herein can be implemented as discrete hardware components or integrated in the functionality of hardware components such as ASICS, FPGAs, DSPs or similar devices. In addition, processing module/unit/logiccan be implemented as firmware or functional circuitry within hardware devices. Further, processing module/unit/logiccan be implemented in any combination hardware devices and software components.

400 Note that while systemis illustrated with various components of a data processing system, it is not intended to represent any particular architecture or manner of interconnecting the components; as such details are not germane to embodiments disclosed herein. It will also be appreciated that network computers, handheld computers, mobile phones, servers, and/or other data processing systems which have fewer components or perhaps more components may also be used with embodiments disclosed herein.

Some portions of the preceding detailed descriptions have been presented in terms of algorithms and symbolic representations of operations on data bits within a computer memory. These algorithmic descriptions and representations are the ways used by those skilled in the data processing arts to most effectively convey the substance of their work to others skilled in the art. An algorithm is here, and generally, conceived to be a self-consistent sequence of operations leading to a desired result. The operations are those requiring physical manipulations of physical quantities.

It should be borne in mind, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities. Unless specifically stated otherwise as apparent from the above discussion, it is appreciated that throughout the description, discussions utilizing terms such as those set forth in the claims below, refer to the action and processes of a computer system, or similar electronic computing device, that manipulates and transforms data represented as physical (electronic) quantities within the computer system's registers and memories into other data similarly represented as physical quantities within the computer system memories or registers or other such information storage, transmission or display devices.

Embodiments disclosed herein also relate to an apparatus for performing the operations herein. Such a computer program is stored in a non-transitory computer readable medium. A non-transitory machine-readable medium includes any mechanism for storing information in a form readable by a machine (e.g., a computer). For example, a machine-readable (e.g., computer-readable) medium includes a machine (e.g., a computer) readable storage medium (e.g., read only memory (“ROM”), random access memory (“RAM”), magnetic disk storage media, optical storage media, flash memory devices).

The processes or methods depicted in the preceding figures may be performed by processing logic that comprises hardware (e.g. circuitry, dedicated logic, etc.), software (e.g., embodied on a non-transitory computer readable medium), or a combination of both. Although the processes or methods are described above in terms of some sequential operations, it should be appreciated that some of the operations described may be performed in a different order. Moreover, some operations may be performed in parallel rather than sequentially.

Embodiments disclosed herein are not described with reference to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of embodiments disclosed herein.

In the foregoing specification, embodiments have been described with reference to specific exemplary embodiments thereof. It will be evident that various modifications may be made thereto without departing from the broader spirit and scope of the embodiments disclosed herein as set forth in the following claims. The specification and drawings are, accordingly, to be regarded in an illustrative sense rather than a restrictive sense.